Literature DB >> 20354002

Dynamic functional reorganization of the motor execution network after stroke.

Liang Wang1, Chunshui Yu, Hai Chen, Wen Qin, Yong He, Fengmei Fan, Yujin Zhang, Moli Wang, Kuncheng Li, Yufeng Zang, Todd S Woodward, Chaozhe Zhu.   

Abstract

Numerous studies argue that cortical reorganization may contribute to the restoration of motor function following stroke. However, the evolution of changes during the post-stroke reorganization has been little studied. This study sought to identify dynamic changes in the functional organization, particularly topological characteristics, of the motor execution network during the stroke recovery process. Ten patients (nine male and one female) with subcortical infarctions were assessed by neurological examination and scanned with resting-state functional magnetic resonance imaging across five consecutive time points in a single year. The motor execution network of each subject was constructed using a functional connectivity matrix between 21 brain regions and subsequently analysed using graph theoretical approaches. Dynamic changes in topological configuration of the network during the process of recovery were evaluated by a mixed model. We found that the motor execution network gradually shifted towards a random mode during the recovery process, which suggests that a less optimized reorganization is involved in regaining function in the affected limbs. Significantly increased regional centralities within the network were observed in the ipsilesional primary motor area and contralesional cerebellum, whereas the ipsilesional cerebellum showed decreased regional centrality. Functional connectivity to these brain regions demonstrated consistent alterations over time. Notably, these measures correlated with different clinical variables, which provided support that the findings may reflect the adaptive reorganization of the motor execution network in stroke patients. In conclusion, the study expands our understanding of the spectrum of changes occurring in the brain after stroke and provides a new avenue for investigating lesion-induced network plasticity.

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Year:  2010        PMID: 20354002     DOI: 10.1093/brain/awq043

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  233 in total

1.  Large-scale changes in network interactions as a physiological signature of spatial neglect.

Authors:  Antonello Baldassarre; Lenny Ramsey; Carl L Hacker; Alicia Callejas; Serguei V Astafiev; Nicholas V Metcalf; Kristi Zinn; Jennifer Rengachary; Abraham Z Snyder; Alex R Carter; Gordon L Shulman; Maurizio Corbetta
Journal:  Brain       Date:  2014-11-02       Impact factor: 13.501

2.  Dynamic brain structural changes after left hemisphere subcortical stroke.

Authors:  Fengmei Fan; Chaozhe Zhu; Hai Chen; Wen Qin; Xunming Ji; Liang Wang; Yujin Zhang; Litao Zhu; Chunshui Yu
Journal:  Hum Brain Mapp       Date:  2012-03-19       Impact factor: 5.038

3.  Reorganization of Brain Networks in Aging and Age-related Diseases.

Authors:  Junfeng Sun; Shanbao Tong; Guo-Yuan Yang
Journal:  Aging Dis       Date:  2011-11-28       Impact factor: 6.745

4.  Altered resting-state effective connectivity of fronto-parietal motor control systems on the primary motor network following stroke.

Authors:  Cory S Inman; G Andrew James; Stephan Hamann; Justin K Rajendra; Giuseppe Pagnoni; Andrew J Butler
Journal:  Neuroimage       Date:  2011-08-02       Impact factor: 6.556

5.  The plasticity of intrinsic functional connectivity patterns associated with rehabilitation intervention in chronic stroke patients.

Authors:  Xiaohui Zheng; Limin Sun; Dazhi Yin; Jie Jia; Zhiyong Zhao; Yuwei Jiang; Xiangmin Wang; Jie Wu; Jiayu Gong; Mingxia Fan
Journal:  Neuroradiology       Date:  2016-01-28       Impact factor: 2.804

6.  Aberrant white matter networks mediate cognitive impairment in patients with silent lacunar infarcts in basal ganglia territory.

Authors:  Jinfu Tang; Suyu Zhong; Yaojing Chen; Kewei Chen; Junying Zhang; Gaolang Gong; Adam S Fleisher; Yong He; Zhanjun Zhang
Journal:  J Cereb Blood Flow Metab       Date:  2015-04-15       Impact factor: 6.200

Review 7.  Cerebral network disorders after stroke: evidence from imaging-based connectivity analyses of active and resting brain states in humans.

Authors:  Anne K Rehme; Christian Grefkes
Journal:  J Physiol       Date:  2012-10-22       Impact factor: 5.182

8.  Treatment with Mesenchymal-Derived Extracellular Vesicles Reduces Injury-Related Pathology in Pyramidal Neurons of Monkey Perilesional Ventral Premotor Cortex.

Authors:  Maria Medalla; Wayne Chang; Samantha M Calderazzo; Veronica Go; Alexandra Tsolias; Joseph W Goodliffe; Dhruba Pathak; Diego De Alba; Monica Pessina; Douglas L Rosene; Benjamin Buller; Tara L Moore
Journal:  J Neurosci       Date:  2020-04-02       Impact factor: 6.167

9.  Resting-State Functional Connectivity Magnetic Resonance Imaging and Outcome After Acute Stroke.

Authors:  Josep Puig; Gerard Blasco; Angel Alberich-Bayarri; Gottfried Schlaug; Gustavo Deco; Carles Biarnes; Marian Navas-Martí; Mireia Rivero; Jordi Gich; Jaume Figueras; Cristina Torres; Pepus Daunis-I-Estadella; Celia L Oramas-Requejo; Joaquín Serena; Cathy M Stinear; Amy Kuceyeski; Carles Soriano-Mas; Götz Thomalla; Marco Essig; Chase R Figley; Bijoy Menon; Andrew Demchuk; Kambiz Nael; Max Wintermark; David S Liebeskind; Salvador Pedraza
Journal:  Stroke       Date:  2018-10       Impact factor: 7.914

10.  Interhemispheric functional connectivity following prenatal or perinatal brain injury predicts receptive language outcome.

Authors:  Anthony Steven Dick; Anjali Raja Beharelle; Ana Solodkin; Steven L Small
Journal:  J Neurosci       Date:  2013-03-27       Impact factor: 6.167

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